Amazon DynamoDB Accelerator (DAX) – In-Memory Caching for Read-Intensive Workloads

I’m fairly sure that you already know about Amazon DynamoDB. As you probably know, it is a managed NoSQL database that scales to accommodate as much table space, read capacity, and write capacity as you need. With response times measured in single-digit milliseconds, our customers are using DynamoDB for many types of applications including adtech, IoT, gaming, media, online learning, travel, e-commerce, and finance. Some of these customers store more than 100 terabytes in a single DynamoDB table and make millions of read or write requests per second. The Amazon retail site relies on DynamoDB and uses it to withstand the traffic surges associated with brief, high-intensity events such as Black Friday, Cyber Monday, and Prime Day.

While DynamoDB’s ability to deliver fast, consistent performance benefits just about any application and workload, there’s always room to do even better. The business value of some workloads (gaming and adtech come to mind, but there are many others) is driven by low-latency, high-performance database reads. The ability to pull data from DynamoDB as quickly as possible leads to faster & more responsive games or ads that drive the highest click-through rates.

 https://aws.amazon.com/blogs/aws/amazon-dynamodb-accelerator-dax-in-memory-caching-for-read-intensive-workloads

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